Description: 基于神经网络的车牌识别VC源代码, 识别效率很不错，希望对大家有所帮助-Based on neural network LPR VC source code, to identify efficiency is pretty good, I hope all of you to help Platform: |
Size: 237568 |
Author:王名 |
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Description: 成功实现了车牌的定位、字符分割、并用神经网络实现了字符识别功能。可运行。-The successful implementation of the license plate of the positioning, character segmentation, and neural network achieved a character recognition function. Run. Platform: |
Size: 346112 |
Author:annie |
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Description: 视频车辆牌照识别，包含汉字处理算法，BP神经网络设计。识别率高达90％以上。-Video vehicle license plate recognition, including the Chinese characters processing algorithms, BP neural network design. Recognition rate as high as 90 . Platform: |
Size: 771072 |
Author:飞辉 |
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Description: LPR車牌辨識軟體,是由VISL實驗室開發的demo source code,可以直接在Matlab環境下執行(demo),程式主要使用類神經網路演算法(Neural Network)-License Plate Recognition-- Matlab source code, it s from VISL please visit website: http://visl.technion.ac.il/ for more information Platform: |
Size: 2284544 |
Author:jo |
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Description: 这是我自己做的一个基于神经网络的车牌识别程序，主要针对的是国内的蓝底车牌，希望对大家有帮助！-This is my own doing a neural network-based license plate recognition program, mainly for the domestic blue license plates, we want to help! Platform: |
Size: 35318784 |
Author:dong |
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Description: 基于matlab的车牌识别软件，能够对车牌进行准确的定位与识别，可以运行。字符识别采用BP神经网络的方法。-Accurate positioning and recognition based on the Matlab license plate recognition software, the license plate, you can run. Character recognition using the method of BP neural network. Platform: |
Size: 421888 |
Author:panjie |
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Description: 硕士论文的一种方法：基于BP神经网络的一种汽车牌照字符识别方法，内含程序修改和运行说明，还有33幅测试牌照图像，识别准确率72 ，效果不错，可自行修改使用。-A method of master s thesis: a vehicle license plate character recognition method based on BP neural network, that contains the program modification and operation, there are 33 test image of license plate, recognition accuracy rate is 72 , the effect is good, can be modified to use. Platform: |
Size: 4230144 |
Author:norouxu |
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Description: 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。
2.测试图像存储在当前目录的img下。
3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, tilt correction, character segmentation, neural network training, identification character. 2. Test img image is stored in the current directory. 3. The test set, the training set, the target vectors are stored in a text file under the img. Platform: |
Size: 1024000 |
Author:lzewen10 |
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